tfx.orchestration.portable.execution_publish_utils.publish_succeeded_execution

Marks an existing execution as success.

tfx.orchestration.portable.execution_publish_utils.publish_succeeded_execution(
    metadata_handler: tfx.orchestration.metadata.Metadata,
    execution_id: int,
    contexts: Sequence[metadata_store_pb2.Context],
    output_artifacts: Optional[MutableMapping[str, Sequence[types.Artifact]]] = None,
    executor_output: Optional[execution_result_pb2.ExecutorOutput] = None
) -> Optional[MutableMapping[str, List[types.Artifact]]]

Also publishes the output artifacts produced by the execution. This method will also merge the executor produced info into system generated output artifacts. The last_know_state of the execution will be changed to COMPLETE and the output artifacts will be marked as LIVE.

metadata_handler A handler to access MLMD.
execution_id The id of the execution to mark successful.
contexts MLMD contexts to associated with the execution.
output_artifacts Output artifacts skeleton of the execution, generated by the system. Each artifact will be linked with the execution through an event with type OUTPUT.
executor_output Executor outputs. executor_output.output_artifacts will be used to update system-generated output artifacts passed in through output_artifacts arg. There are three contraints to the update: 1. The keys in executor_output.output_artifacts are expected to be a subset of the system-generated output artifacts dict. 2. An update to a certain key should contains all the artifacts under that key. 3. An update to an artifact should not change the type of the artifact.

The maybe updated output_artifacts, note that only outputs whose key are in executor_output will be updated and others will be untouched. That said, it can be partially updated.

RuntimeError if the executor output to a output channel is partial.